.ipynb .pdf

repository open issue

Binder

Contents

5. Tree map

5.1. 概要

5.2. Plotlyによる作図方法

5.3. MADB Labを用いた作図例

5.3.1. 下準備

import pandas as pd
import plotly.express as px

import warnings
warnings.filterwarnings('ignore')

# 前処理の結果，以下に分析対象ファイルが格納されていることを想定
PATH_DATA = '../../data/preprocess/out/magazines.csv'
# Jupyter Book用のPlotlyのrenderer
RENDERER = 'plotly_mimetype+notebook'

def show_fig(fig):
    """Jupyter Bookでも表示可能なようRendererを指定"""
    fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
    fig.show(renderer=RENDERER)

def add_years_to_df(df, unit_years=10):
    """unit_years単位で区切ったyears列を追加"""
    df_new = df.copy()
    df_new['years'] = \
        pd.to_datetime(df['datePublished']).dt.year \
        // unit_years * unit_years
    df_new['years'] = df_new['years'].astype(str)
    return df_new

df = pd.read_csv(PATH_DATA)

5.3.2. 雑誌別・年代別の合計作品数

col_count = 'cname'

# 1年単位で区切ったyearsを追加
df = add_years_to_df(df, 10)
# mcname, yearsで集計
df_plot = \
    df.groupby(['mcname', 'years'])[col_count].\
    nunique().reset_index()
df_plot = \
    df_plot.sort_values(['years', 'mcname'], ignore_index=True)

fig = px.treemap(
    df_plot, path=[px.Constant('all'), 'mcname', 'years'],
    values=col_count)
fig.update_traces(root_color='lightgrey')
show_fig(fig)

5.3.3. 雑誌別・作品別の合計連載週数

df_plot = \
    df.groupby('mcname')['cname'].value_counts().\
    reset_index(name='weeks')
# 描画用に10週以上の作品に絞る
df_plot = df_plot[df_plot['weeks']>=10].reset_index(drop=True)
fig = px.treemap(
    df_plot, path=[px.Constant('all'), 'mcname', 'cname'],
    values='weeks')
fig.update_traces(root_color='lightgrey')
show_fig(fig)

5.3.4. 雑誌別・年代別の合計作者数

col_count = 'creator'

# 1年単位で区切ったyearsを追加
df = add_years_to_df(df, 10)
# mcname, yearsで集計
df_plot = \
    df.groupby(['mcname', 'years'])[col_count].\
    nunique().reset_index()
df_plot = \
    df_plot.sort_values(['years', 'mcname'], ignore_index=True)

fig = px.treemap(
    df_plot, path=[px.Constant('all'), 'mcname', 'years'],
    values=col_count)
fig.update_traces(root_color='lightgrey')
show_fig(fig)

5.3.5. 雑誌別・作者別の合計連載週数

df_plot = \
    df.groupby('mcname')['creator'].value_counts().\
    reset_index(name='weeks')
# 描画用に10週以上の作者に絞る
df_plot = df_plot[df_plot['weeks']>=10].reset_index(drop=True)
fig = px.treemap(
    df_plot, path=[px.Constant('all'), 'mcname', 'creator'],
    values='weeks')
fig.update_traces(root_color='lightgrey')
show_fig(fig)

previous

4. Mosaic plot

next

6. Parallel sets